Author:
Chen Ting,Qian Yuan,Deng Xingli
Abstract
Abstract
Objective
The association of the triglyceride-glucose (TyG) index with severe consciousness disturbance and in-hospital mortality in patients with cerebrovascular disease in the intensive care unit (ICU) is unclear. This study aimed to investigate the TyG index’s predictive ability on the severity of impaired consciousness and in-hospital mortality in patients with cerebrovascular disease in the ICU.
Method
Patients diagnosed with non-traumatic cerebral hemorrhage and cerebral infarction were extracted from the MIMIC-IV database and analyzed as two cohorts. The association between the TyG index and the severity of patients’ impairment of consciousness and in-hospital mortality was analyzed using logistic regression models. Using restricted cubic spline curves, we analyzed potential nonlinear relationships between TyG indices and outcome indicators. receiver operating characteristic (ROC) curves were utilized to evaluate the predictive ability of the TyG index for outcome indicators.
Result
The study’s last two cohorts comprised 537 patients with traumatic cerebral hemorrhage and 872 patients with cerebral infarction. TyG index was a significant predictor of the severity of impaired consciousness and in-hospital mortality in patients with cerebrovascular disease, as determined by logistic regression. The risk of severe consciousness impairment and in-hospital mortality increased roughly linearly with increasing TyG index.
Conclusion
The TyG index was found to be a significant predictor for severe impairment of consciousness and in-hospital death in patients with cerebrovascular disease in the ICU, and it provides some predictive value for the severity of consciousness disturbances and in-hospital mortality in cerebrovascular disease patients.
Funder
Yunnan Province’s "Ten Thousand People Plan" Young Top Talent Special Provincial Basic Research Program
Publisher
Springer Science and Business Media LLC
Subject
Cardiology and Cardiovascular Medicine,Endocrinology, Diabetes and Metabolism
Cited by
12 articles.
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